
Cord blood DNA methylation signatures associated with preeclampsia are enriched for cardiovascular pathways: insights from the VDAART trial.
Hanna M Knihtilä et al. EBioMedicine 2023 11 104890 (Posted Nov 29, 2023 9AM)
UK first to approve CRISPR treatment for diseases: what you need to know
C Wong. Nature. November 16, 2023 (Posted Nov 17, 2023 8AM)
Prioritizing the Exposome to Reduce Cardiovascular Disease Burden.
Erica S Spatz et al. JAMA Cardiol 2023 11 (Posted Nov 14, 2023 1PM)
First trial of 'base editing' in humans lowers cholesterol - but raises safety concerns.
Miryam Naddaf et al. Nature 2023 11 (Posted Nov 14, 2023 9AM)


Catherine Segbefia et al. J Womens Health (Larchmt) 2023
Using Real-World Data to Inform Value-Based Contracts for Cell and Gene Therapies in Medicaid.

Antal Zemplenyi et al. Pharmacoeconomics 2023
Comparing Active Surveillance and Watchful Waiting With Radical Treatment Using Machine Learning Models Among Patients With Prostate Cancer.

Siqi Hu et al. JCO Clin Cancer Inform 2023 7e2300083
Development and Evaluation of a Natural Language Processing System for Curating a Trans-Thoracic Echocardiogram (TTE) Database.

Tim Dong et al. Bioengineering (Basel) 2023 10(11)
Machine learning algorithms for the prognostication of abdominal aortic aneurysm progression: a systematic review.

Nazifa Ullah et al. Minerva Surg 2023
Machine Learning in Cardiovascular Risk Prediction and Precision Preventive Approaches.

Nitesh Gautam et al. Curr Atheroscler Rep 2023
A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke.

Ting Fang et al. J Xray Sci Technol 2023
Deep learning-based NT-proBNP prediction from the ECG for risk assessment in the community.

Meraj Neyazi et al. Clin Chem Lab Med 2023
Feasibility and limitations of deep learning-based coronary calcium scoring in PET-CT: a comparison with coronary calcium score CT.

Hee Sang Oh et al. Eur Radiol 2023
Impact of vaccination and variants of concern on long COVID clinical phenotypes.

Kenny Grace, et al. BMC infectious diseases 2023 0 0. (1) 804
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About HLBS-PopOmics
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
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Site Citation:
Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Oct 1, 2023
- Page last updated:Nov 30, 2023
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